Unknown

Dataset Information

0

DIC image reconstruction using an energy minimization framework to visualize optical path length distribution.


ABSTRACT: Label-free microscopy techniques have numerous advantages such as low phototoxicity, simple setup and no need for fluorophores or other contrast materials. Despite their advantages, most label-free techniques cannot visualize specific cellular compartments or the location of proteins and the image formation limits quantitative evaluation. Differential interference contrast (DIC) is a qualitative microscopy technique that shows the optical path length differences within a specimen. We propose a variational framework for DIC image reconstruction. The proposed method largely outperforms state-of-the-art methods on synthetic, artificial and real tests and turns DIC microscopy into an automated high-content imaging tool. Image sets and the source code of the examined algorithms are made publicly available.

SUBMITTER: Koos K 

PROVIDER: S-EPMC4958949 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC4497654 | biostudies-literature
| S-EPMC8237767 | biostudies-literature
| S-EPMC4764011 | biostudies-literature
| S-EPMC4768307 | biostudies-literature
| S-EPMC7062737 | biostudies-literature
| S-EPMC3299650 | biostudies-literature
| S-EPMC5763581 | biostudies-literature
| S-EPMC3740235 | biostudies-literature
| S-EPMC4778023 | biostudies-literature
| S-EPMC8322159 | biostudies-literature